Reduction of symbolic rules from artificial neural networks using sensitivity analysis. - Herna L. Viktor; Andries P. Engelbrecht; Ian Cloete (ICNN, 1995)

Extracting DNF Rules from Artificial Neural Networks. - Herna L. Viktor; Ian Cloete (IWANN, 1995)

Learning by Co-operation: Combining Multiple Computationally Intelligent Programs into a Computational Network. - Herna L. Viktor; Ian Cloete (ICANNGA, 1997)

Inductive Learning with a Computational Network. - Herna L. Viktor; Ian Cloete (J. Intell. Robotic Syst., 1998)

The Development of a Data Warehouse for Policy Making: A Case Study. - J. F. Francois Weilbach; Herna L. Viktor (HICSS, 1999)

Improved generalisation using cooperative learning and rule extraction. - Herna L. Viktor; Ian Cloete (IJCNN, 1999)

Rule Improvement Through Decision Boundary Detection Using Sensitivity Analysis. - Andries P. Engelbrecht; Herna L. Viktor (IWANN (2), 1999)

Enhancing Government Decision Making Through Knowledge Discovery from Data. - Herna L. Viktor; Heidi Arndt; Mauritz Oberholzer (ECIS, 2000)

Cooperating to Learn: Knowledge Discovery through Intelligent Learning Agents. - Herna L. Viktor (ICMAS, 2000)

Generating New Patterns for Information Gain and Improved Neural Network Learning. - Herna L. Viktor (IJCNN (4), 2000)

Dynamic knowledge-base construction through knowledge discovery. - Heidi Arndt; Herna L. Viktor (IRMA Conference, 2000)

Data mining in practice: from data to knowledge using a hybrid mining approach. - Herna L. Viktor; Heidi Arndt (Int. J. Comput. Syst. Signals, 2000)

The Virtual Boutique: a Synergic Approach to Virtualization, Content-based Management of 3D Information, 3D Data Mining an Virtual Reality for E-commerce. - Eric Paquet; Herna L. Viktor; Shawn Peter (3DPVT, 2002)

Visualisation of Highly Textured Surfaces. - Sabry F. El-Hakim; Lorenzo Gonzo; Michel Picard; Stefano Girardi; Andrea Simoni; Eric Paquet; Herna L. Viktor; Claus Brenner (VAST, 2003)

Boosting with Data Generation: Improving the Classification of Hard to Learn Examples. - Hongyu Guo; Herna L. Viktor (IEA/AIE, 2004)

Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. - Herna L. Viktor; Hongyu Guo (SSPR/SPR, 2004)

Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach. - Hongyu Guo; Herna L. Viktor (SIGKDD Explor., 2004)

On the application of 3D technologies to the framework of cultural heritage. - Eric Paquet; Herna L. Viktor (Ann. des Télécommunications, 2005)

Multi-view ANNs for Multi-relational Classification. - Hongyu Guo; Herna L. Viktor (IJCNN, 2006)

Mining relational data through correlation-based multiple view validation. - Hongyu Guo; Herna L. Viktor (KDD, 2006)

Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification. - Herna L. Viktor; Eric Paquet; Hongyu Guo (PKDD, 2006)

Long term digital preservation - An end user's perspective. - Julie Doyle; Herna L. Viktor; Eric Paquet (ICDIM, 2007)

Pruning Relations for Substructure Discovery of Multi-relational Databases. - Hongyu Guo; Herna L. Viktor; Eric Paquet (PKDD, 2007)

Adjustment of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-Based Retrieval of 3-D Body Scans. - Eric Paquet; Herna L. Viktor (IEEE Trans. Instrum. Meas., 2007)

Preservation metadata - a framework for 3D data based on the Semantic Web. - Julie Doyle; Herna L. Viktor; Eric Paquet (ICDIM, 2008)

Learning from Skewed Class Multi-relational Databases. - Hongyu Guo; Herna L. Viktor (Fundam. Informaticae, 2008)

Multirelational classification: a multiple view approach. - Hongyu Guo; Herna L. Viktor (Knowl. Inf. Syst., 2008)

Capri/MR: exploring protein databases from a structural and physicochemical point of view. - Eric Paquet; Herna L. Viktor (Proc. VLDB Endow., 2008)

Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures. - Isis Peña; Herna L. Viktor; Eric Paquet (DaWaK, 2009)

Finding Protein Family Similarities in Real Time through Multiple 3D and 2D Representations, Indexing and Exhaustive Searching. - Eric Paquet; Herna Lydia Viktor (KDIR, 2009)

Explorative Data Mining for the Sizing of Population Groups. - Isis Peña; Herna Lydia Viktor; Eric Paquet (KDIR, 2009)

Long-term digital preservation: preserving authenticity and usability of 3-D data. - Julie Doyle; Herna L. Viktor; Eric Paquet (Int. J. Digit. Libr., 2009)

Visual Data Mining from Visualization to Visual Information Mining. - Herna L. Viktor; Eric Paquet (Encyclopedia of Data Warehousing and Mining, 2009)

Index spaces for 3D retrieval: toward a better understanding of their geometry and distribution. - Eric Paquet; Herna L. Viktor (Three-Dimensional Image Processing (3DIP) and Applications, 2010)

Preserving object-relational databases for the next generations. - Herna L. Viktor; Bo Wang; Eric Paquet; Julie Doyle (ICDIM, 2010)

Identifying and Preventing Data Leakage in Multi-relational Classification. - Hongyu Guo; Herna L. Viktor; Eric Paquet (ICDM Workshops, 2010)

Probability distributions from Riemannian geometry, generalized hybrid Monte Carlo sampling, and path integrals. - Eric Paquet; Herna L. Viktor (Three-Dimensional Imaging, Interaction, and Measurement, 2011)

Privacy leakage in multi-relational learning via unwanted classification models. - Hongyu Guo; Herna L. Viktor; Eric Paquet (CASCON, 2011)

A Comparative Evaluation of Proximity Measures for Spectral Clustering. - Nadia Farhanaz Azam; Herna L. Viktor (KDIR, 2011)

Spectral Clustering: An Explorative Study of Proximity Measures. - Nadia Farhanaz Azam; Herna L. Viktor (IC3K, 2011)

To Aggregate or Not to Aggregate: That is the Question. - Eric Paquet; Herna L. Viktor; Hongyu Guo (KDIR, 2011)

Multimodal Representations, Indexing, Unexpectedness and Proteins. - Eric Paquet; Herna L. Viktor (IEA/AIE (1), 2011)

Privacy Disclosure and Preservation in Learning with Multi-Relational Databases. - Hongyu Guo; Herna L. Viktor; Eric Paquet (J. Comput. Sci. Eng., 2011)

The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data. - Daniel K. Antwi; Herna L. Viktor; Nathalie Japkowicz (ICDM Workshops, 2012)

Transductive Relational Classification in the Co-training Paradigm. - Michelangelo Ceci; Annalisa Appice; Herna L. Viktor; Donato Malerba; Eric Paquet; Hongyu Guo (MLDM, 2012)

Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation. - Eric Paquet; Herna Lydia Viktor; Hongyu Guo (NFMCP, 2012)

Aggregation and privacy in multi-relational databases. - Yasser Jafer; Herna L. Viktor; Eric Paquet (PST, 2012)

Who are our clients: consumer segmentation through explorative data mining. - Herna L. Viktor; Isis Peña; Eric Paquet (Int. J. Data Min. Model. Manag., 2012)

An isometry-invariant spectral approach for protein-protein docking. - Dela De Youngster; Eric Paquet; Herna L. Viktor; Emil M. Petriu (BIBE, 2013)

Isometrically Invariant Description of Deformable Objects Based on the Fractional Heat Equation. - Eric Paquet; Herna Lydia Viktor (CAIP (2), 2013)

A Personalized Location Aware Multi-Criteria Recommender System Based on Context-Aware User Preference Models. - Salvador Valencia Rodríguez; Herna Lydia Viktor (AIAI, 2013)

Artificial neural networks for predicting 3D protein shapes from amino acid sequences. - Herna L. Viktor; Eric Paquet; Jing Zhao (IJCNN, 2013)

Use of Performance Metrics to Forecast Success in the National Hockey League. - Joshua Weissbock; Herna L. Viktor; Diana Inkpen (MLSA@PKDD/ECML, 2013)

Reducing the size of databases for multirelational classification: a subgraph-based approach. - Hongyu Guo; Herna L. Viktor; Eric Paquet (J. Intell. Inf. Syst., 2013)

Physics-based measurements, reflective measurements and meta-measurements for nonrigid and deformable shapes with application to structural proteomics and macromolecular docking. - Eric Paquet; Dela De Youngster; Herna L. Viktor; Emil M. Petriu (CIVEMSA, 2014)

Building Smart Cubes for Reliable and Faster Access to Data. - Daniel K. Antwi; Herna L. Viktor (DaWaK, 2014)

A Quantum Particle Swarm Optimization and Genetic Algorithm approach to the correspondence problem. - Hamid Hadavi; Herna L. Viktor; Eric Paquet (INISTA, 2014)

Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling. - Parinaz Sobhani; Herna L. Viktor; Stan Matwin (NFMCP, 2014)

Data science workshop: experience driven analytics. - Joanna Ng; Frank Dehne; Stan Matwin; Herna L. Viktor; Olga Baysal (CASCON, 2015)

SCUT: Multi-Class Imbalanced Data Classification using SMOTE and Cluster-based Undersampling. - Astha Agrawal; Herna L. Viktor; Eric Paquet (KDIR, 2015)

Multi-label Classification of Anemia Patients. - Colin Bellinger; Ali Amid; Nathalie Japkowicz; Herna L. Viktor (ICMLA, 2015)

Tweets as a Vote: Exploring Political Sentiments on Twitter for Opinion Mining. - Muhammed K. Olorunnimbe; Herna L. Viktor (ISMIS, 2015)

Intelligent Adaptive Ensembles for Data Stream Mining: A High Return on Investment Approach. - M. Kehinde Olorunnimbe; Herna L. Viktor; Eric Paquet (NFMCP, 2015)

A Framework for Classification in Data Streams Using Multi-strategy Learning. - Ali Pesaranghader; Herna L. Viktor; Eric Paquet (DS, 2016)

An Active Learning Approach for Ensemble-based Data Stream Mining. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (KDIR, 2016)

Fast Hoeffding Drift Detection Method for Evolving Data Streams. - Ali Pesaranghader; Herna L. Viktor (ECML/PKDD (2), 2016)

Dynamic Materialization for Building Personalized Smart Cubes. - Daniel K. Antwi; Herna L. Viktor (Trans. Large Scale Data Knowl. Centered Syst., 2016)

Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams. - Sarah D'Ettorre; Herna L. Viktor; Eric Paquet (DS, 2017)

Exploring Mediatoil Imagery: A Content-based Approach. - Sahil Saroop; Herna L. Viktor; Patrick McCurdy; Eric Paquet (KDIR, 2017)

An Exploratory Study of Oral and Dental Health in Canada. - Andrei Belcin; Sean Floyd; Areej Asiri; Herna L. Viktor (ICMLA, 2017)

XRT: Programming-Language Independent MapReduce on Shared-Memory Systems. - Erik G. Selin; Herna L. Viktor (BigData Congress, 2018)

Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (KDIR, 2018)

HCC-Learn Framework for Hybrid Learning in Recommender Systems. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (IC3K, 2018)

McDiarmid Drift Detection Methods for Evolving Data Streams. - Ali Pesaranghader; Herna L. Viktor; Eric Paquet (IJCNN, 2018)

SCUT-DS: Learning from Multi-class Imbalanced Canadian Weather Data. - Olubukola M. Olaitan; Herna L. Viktor (ISMIS, 2018)

Clustering in the Presence of Concept Drift. - Richard Hugh Moulton; Herna L. Viktor; Nathalie Japkowicz; João Gama 001 (ECML/PKDD (1), 2018)

Dynamic adaptation of online ensembles for drifting data streams. - M. Kehinde Olorunnimbe; Herna L. Viktor; Eric Paquet (J. Intell. Inf. Syst., 2018)

Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams. - Ali Pesaranghader; Herna L. Viktor; Eric Paquet (Mach. Learn., 2018)

Improved Programming-Language Independent MapReduce on Shared-Memory Systems. - Erik G. Selin; Herna L. Viktor (DaWaK, 2019)

Sensory Data-Driven Modeling of Adversaries in Mobile Crowdsensing Platforms. - Kyle Quintal; Ertugrul Kara; Murat Simsek; Burak Kantarci; Herna L. Viktor (GLOBECOM, 2019)

Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (KDIR, 2019)

Active Learning and Deep Learning for the Cold-Start Problem in Recommendation System: A Comparative Study. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (IC3K, 2019)

Towards Ethical Content-Based Detection Of Online Influence Campaigns. - Evan Crothers; Nathalie Japkowicz; Herna L. Viktor (MLSP, 2019)

Soft Voting Windowing Ensembles for Learning from Partially Labelled Streams. - Sean L. A. Floyd; Herna L. Viktor (NFMCP@PKDD/ECML, 2019)

Contextual One-Class Classification in Data Streams. - Richard Hugh Moulton; Herna L. Viktor; Nathalie Japkowicz; João Gama 001 (CoRR, 2019)

Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges. - Rabaa Abdulrahman; Herna L. Viktor (KDIR, 2020)

Multi-class imbalanced semi-supervised learning from streams through online ensembles. - Parsa Vafaie; Herna L. Viktor; Wojtek Michalowski (ICDM (Workshops), 2020)

Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations. - Evan Crothers; Herna L. Viktor; Nathalie Japkowicz (CSoNet, 2021)

An Extensive Comparison of Systems for Entity Extraction from Log Files. - Anubhav Chhabra; Paula Branco; Guy-Vincent Jourdan; Herna L. Viktor (FPS, 2021)

Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences. - Junzheng Wu; Eric Paquet; Herna L. Viktor; Wojtek Michalowski (IJCNN, 2021)

Online-MC-Queue: Learning from Imbalanced Multi-Class Streams. - Farnaz Sadeghi; Herna L. Viktor (LIDTA@ECML/PKDD, 2021)

Online Semi-supervised Learning from Evolving Data Streams with Meta-features and Deep Reinforcement Learning. - Parsa Vafaie; Herna L. Viktor; Eric Paquet; Wojtek Michalowski (LOD, 2021)

Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning. - Rabaa Alabdulrahman; Herna L. Viktor (Expert Syst. Appl., 2021)

MQ-OFL: Multi-sensitive Queue-based Online Fair Learning. - Farnaz Sadeghi; Herna L. Viktor (DS, 2022)

Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. - Evan Crothers; Nathalie Japkowicz; Herna L. Viktor; Paula Branco (IJCNN, 2022)

Similarity Embedded Temporal Transformers: Enhancing Stock Predictions with Historically Similar Trends. - Kenniy Olorunnimbe; Herna L. Viktor (ISMIS, 2022)

Adapting to Complexity: Deep Learnable Architecture for Protein-protein Interaction Predictions. - Junzheng Wu; Eric Paquet; Herna L. Viktor; Wojtek Michalowski (LOD (1), 2022)

Geometric Deep Learning for Protein-Protein Interaction Predictions. - Gabriel St-Pierre Lemieux; Eric Paquet; Herna L. Viktor; Wojtek Michalowski (IEEE Access, 2022)

Exact shape flattening by means of Weitzenböck geometry and teleparallel distance. - Eric Paquet; Herna L. Viktor; Gabriel St-Pierre Lemieux (Displays, 2022)

COVID-19 malicious domain names classification. - Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Herna L. Viktor (Expert Syst. Appl., 2022)

HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. - Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Herna L. Viktor (DS, 2023)

ProVolOne - Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis. - Eric Paquet; Herna L. Viktor; Wojtek Michalowski; Gabriel St-Pierre Lemieux (LOD (1), 2023)

Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. - William Aiken; Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Mehrdad Sabetzadeh; Herna L. Viktor (TechDebt@ICSE, 2023)

Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods. - Evan Crothers; Nathalie Japkowicz; Herna L. Viktor (IEEE Access, 2023)

In BLOOM: Creativity and Affinity in Artificial Lyrics and Art. - Evan Crothers; Herna L. Viktor; Nathalie Japkowicz (CoRR, 2023)

Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. - William Aiken; Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Mehrdad Sabetzadeh; Herna L. Viktor (CoRR, 2023)

Faithful to Whom? Questioning Interpretability Measures in NLP. - Evan Crothers; Herna L. Viktor; Nathalie Japkowicz (CoRR, 2023)

Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker-Planck and Kähler-Dirac Equations. - Eric Paquet; Herna L. Viktor; Kamel Madi; Junzheng Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Deep learning in the stock market - a systematic survey of practice, backtesting, and applications. - Kenniy Olorunnimbe; Herna L. Viktor (Artif. Intell. Rev., 2023)

DynaQ: online learning from imbalanced multi-class streams through dynamic sampling. - Farnaz Sadeghi; Herna L. Viktor; Parsa Vafaie (Appl. Intell., 2023)

Enhancing Temporal Transformers for Financial Time Series via Local Surrogate Interpretability. - Kenniy Olorunnimbe; Herna L. Viktor (ISMIS, 2024)

Protein Sequence Generation Using Denoising Probabilistic Diffusion Model. - Jean-Luc Blais-Amyot; Farzan Soleymani; Eric Paquet; Herna Lydia Viktor (LOD (1), 2024)

Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading. - Evan Crothers; Herna L. Viktor; Nathalie Japkowicz (LOD (1), 2024)

Multi-Label Lifelong Machine Learning: A Scoping Review of Algorithms, Techniques, and Applications. - Mohammed Awal Kassim; Herna L. Viktor; Wojtek Michalowski (IEEE Access, 2024)

Knowledge transfer in lifelong machine learning: a systematic literature review. - Pouya Khodaee; Herna L. Viktor; Wojtek Michalowski (Artif. Intell. Rev., 2024)

Ensemble of temporal Transformers for financial time series. - Kenniy Olorunnimbe; Herna L. Viktor (J. Intell. Inf. Syst., 2024)

A Survey on the Applications of Semi-supervised Learning to Cyber-security. - Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Herna Lydia Viktor (ACM Comput. Surv., 2024)

CUE-X: A Framework for the Automatic Evaluation of Clinical Usefulness of Explanations for the Multimorbidity Problem. - Martin Michalowski; Szymon Wilk; Jenny M. Bauer; Marc Carrier; Herna L. Viktor; Wojtek Michalowski (AIME (1), 2025)